data science part 1
The Art of Data Science Part 1
Data Scientist communities have their own complex jargon; multivariate regression models, Big data engineering, Hadoop, Map Reduce, Deep Learning etc. But, unfortunately businesses do not seem to care about how complex the term is or how impressive the math is! They want the results explained in non-tech terms. While working on Big Data & planning to implement it for the benefit of business, it is very important to explain the insights & valuable knowledge in a way that non-technical business user can actually understand. Here is my recent experience while working on a project for one of the largest food retailers. The goal of this project was how incentivisation would help improve their overall profits.